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A Systematic Literature Review on Process-Aware Recommender Systems

arXiv 2103.16654 ↗First posted 30 Mar 2021cs.IR cs.LGcited by 0

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Abstract (arXiv)

Considering processes of a business in a recommender system is highly advantageous. Although most studies in the business process analysis domain are of descriptive and predictive nature, the feasibility of constructing a process-aware recommender system is assessed in a few works. One reason can be the lack of knowledge on process mining potential for recommendation problems. Therefore, this paper aims to identify and analyze the published studies on process-aware recommender system techniques in business process management and process mining domain. A systematic review was conducted on 33 academic articles published between 2008 and 2020 according to several aspects. In this regard, we provide a state-of-the-art review with critical details and researchers with a better perception of which path to pursue in this field. Moreover, based on a knowledge base and holistic perspective, we discuss some research gaps and open challenges in this field.

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References · 18

  1. 2017Deep Learning based Recommender System: A Survey and New Perspectivescited by 136
  2. 2020Deep Learning for Predictive Business Process Monitoring: Review and Benchmarkcited by 45
  3. 2018Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoringcited by 43
  4. 2013Predictive Monitoring of Business Processescited by 37
  5. 2017Outcome-Oriented Predictive Process Monitoring: Review and Benchmarkcited by 37
  6. 2021A systematic literature review on state-of-the-art deep learning methods for process predictioncited by 32
  7. 2017Automated Discovery of Process Models from Event Logs: Review and Benchmarkcited by 28
  8. 2015The Use of Machine Learning Algorithms in Recommender Systems: A Systematic Reviewcited by 27
  9. 2018Predictive Process Monitoring Methods: Which One Suits Me Best?cited by 27
  10. 2016Time and Activity Sequence Prediction of Business Process Instancescited by 24
  11. 2020News Recommender System: A review of recent progress, challenges, and opportunitiescited by 24
  12. 2020Prescriptive Business Process Monitoring for Recommending Next Best Actionscited by 22
6 more
  1. 2019Fairness-Aware Process Miningcited by 9
  2. 2019Mining Uncertain Event Data in Process Miningcited by 9
  3. 2020Conformance checking: A state-of-the-art literature reviewcited by 7
  4. 2019What if Process Predictions are not followed by Good Recommendations? (Technical Report)cited by 3
  5. 2020Practical Aspect of Privacy-Preserving Data Publishing in Process Miningcited by 2
  6. 2019Behavioral Petri Net Mining and Automated Analysis for Human-Computer Interaction Recommendations in Multi-Application Environmentscited by 1

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